--- language: - es license: cc-by-nc-4.0 task_categories: - text-retrieval pretty_name: MessIRve dataset_info: - config_name: ar features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 12917011 num_examples: 22560 - name: test num_bytes: 3178494 num_examples: 5481 download_size: 21681786 dataset_size: 16095505 - config_name: bo features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 14612600 num_examples: 24912 - name: test num_bytes: 2797324 num_examples: 4810 download_size: 23155666 dataset_size: 17409924 - config_name: cl features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 12880656 num_examples: 22486 - name: test num_bytes: 3102500 num_examples: 5408 download_size: 21305157 dataset_size: 15983156 - config_name: co features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 15097852 num_examples: 25914 - name: test num_bytes: 3298913 num_examples: 5667 download_size: 24839923 dataset_size: 18396765 - config_name: cr features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 13784753 num_examples: 23662 - name: test num_bytes: 3292259 num_examples: 5690 download_size: 23823727 dataset_size: 17077012 - config_name: cu features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 12750160 num_examples: 22071 - name: test num_bytes: 2799328 num_examples: 4787 download_size: 21107441 dataset_size: 15549488 - config_name: do features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 16397979 num_examples: 27830 - name: test num_bytes: 3132225 num_examples: 5359 download_size: 26694657 dataset_size: 19530204 - config_name: ec features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 16312780 num_examples: 27599 - name: test num_bytes: 3606915 num_examples: 6074 download_size: 27581918 dataset_size: 19919695 - config_name: es features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 13536323 num_examples: 23476 - name: test num_bytes: 4128466 num_examples: 7148 download_size: 24202582 dataset_size: 17664789 - config_name: full features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string - name: id_country dtype: float64 splits: - name: train num_bytes: 334257004 num_examples: 571835 - name: test num_bytes: 94744399 num_examples: 159384 download_size: 362775883 dataset_size: 429001403 - config_name: gt features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 13318069 num_examples: 22971 - name: test num_bytes: 2693119 num_examples: 4630 download_size: 21408590 dataset_size: 16011188 - config_name: hn features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 15375966 num_examples: 26818 - name: test num_bytes: 3249051 num_examples: 5608 download_size: 25774341 dataset_size: 18625017 - config_name: mx features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 18643202 num_examples: 32258 - name: test num_bytes: 4707418 num_examples: 8099 download_size: 32408800 dataset_size: 23350620 - config_name: ni features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 16088399 num_examples: 28179 - name: test num_bytes: 3346901 num_examples: 5787 download_size: 27123061 dataset_size: 19435300 - config_name: no_country features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 205591989 num_examples: 356040 - name: test num_bytes: 60186934 num_examples: 101359 download_size: 229086765 dataset_size: 265778923 - config_name: pa features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 14830957 num_examples: 25784 - name: test num_bytes: 3366426 num_examples: 5777 download_size: 25359021 dataset_size: 18197383 - config_name: pe features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 14902246 num_examples: 25877 - name: test num_bytes: 3153290 num_examples: 5458 download_size: 23695639 dataset_size: 18055536 - config_name: pr features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 15287838 num_examples: 26609 - name: test num_bytes: 3741058 num_examples: 6343 download_size: 26602025 dataset_size: 19028896 - config_name: py features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 14272782 num_examples: 24885 - name: test num_bytes: 3051339 num_examples: 5306 download_size: 23666563 dataset_size: 17324121 - config_name: sv features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 14828232 num_examples: 25935 - name: test num_bytes: 3333988 num_examples: 5806 download_size: 25247557 dataset_size: 18162220 - config_name: us features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 13536463 num_examples: 23498 - name: test num_bytes: 2508711 num_examples: 4234 download_size: 20227085 dataset_size: 16045174 - config_name: uy features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 11896704 num_examples: 20902 - name: test num_bytes: 3101841 num_examples: 5525 download_size: 21136525 dataset_size: 14998545 - config_name: ve features: - name: id dtype: int64 - name: query dtype: string - name: docid dtype: string - name: docid_text dtype: string - name: query_date dtype: date32 - name: answer_date dtype: date32 - name: match_score dtype: float32 - name: expanded_search dtype: bool - name: answer_type dtype: string splits: - name: train num_bytes: 15954690 num_examples: 27123 - name: test num_bytes: 3399069 num_examples: 5733 download_size: 26261572 dataset_size: 19353759 configs: - config_name: ar data_files: - split: train path: ar/train-* - split: test path: ar/test-* - config_name: bo data_files: - split: train path: bo/train-* - split: test path: bo/test-* - config_name: cl data_files: - split: train path: cl/train-* - split: test path: cl/test-* - config_name: co data_files: - split: train path: co/train-* - split: test path: co/test-* - config_name: cr data_files: - split: train path: cr/train-* - split: test path: cr/test-* - config_name: cu data_files: - split: train path: cu/train-* - split: test path: cu/test-* - config_name: do data_files: - split: train path: do/train-* - split: test path: do/test-* - config_name: ec data_files: - split: train path: ec/train-* - split: test path: ec/test-* - config_name: es data_files: - split: train path: es/train-* - split: test path: es/test-* - config_name: full data_files: - split: train path: full/train-* - split: test path: full/test-* - config_name: gt data_files: - split: train path: gt/train-* - split: test path: gt/test-* - config_name: hn data_files: - split: train path: hn/train-* - split: test path: hn/test-* - config_name: mx data_files: - split: train path: mx/train-* - split: test path: mx/test-* - config_name: ni data_files: - split: train path: ni/train-* - split: test path: ni/test-* - config_name: no_country data_files: - split: train path: no_country/train-* - split: test path: no_country/test-* - config_name: pa data_files: - split: train path: pa/train-* - split: test path: pa/test-* - config_name: pe data_files: - split: train path: pe/train-* - split: test path: pe/test-* - config_name: pr data_files: - split: train path: pr/train-* - split: test path: pr/test-* - config_name: py data_files: - split: train path: py/train-* - split: test path: py/test-* - config_name: sv data_files: - split: train path: sv/train-* - split: test path: sv/test-* - config_name: us data_files: - split: train path: us/train-* - split: test path: us/test-* - config_name: uy data_files: - split: train path: uy/train-* - split: test path: uy/test-* - config_name: ve data_files: - split: train path: ve/train-* - split: test path: ve/test-* --- # Dataset Card for MessIRve **MessIRve** is a **large-scale dataset for Spanish IR**, designed to better capture the information needs of Spanish speakers across different countries. Queries are obtained from Google's autocomplete API (www.google.com/complete), and relevant documents are Spanish Wikipedia paragraphs containing answers from Google Search "featured snippets". This data collection strategy is inspired by [GooAQ](https://github.com/allenai/gooaq/tree/main). The files presented here are the qrels. The style in which they are displayed makes them easier to explore, as it includes the full texts of documents and queries. * For the conventional TREC-style topics and qrels files, refer to https://huggingface.co/datasets/spanish-ir/messirve-trec * The corpus of documents that accompanies this dataset is https://huggingface.co/datasets/spanish-ir/eswiki_20240401_corpus ## Dataset Details ### Dataset Description - **Language(s) (NLP):** Spanish - **License:** CC BY-NC 4.0. The dataset should not be used for any commercial purpose. ### Dataset Sources - **Repository:** TBA - **Paper:** [MessIRve: A Large-Scale Spanish Information Retrieval Dataset](http://arxiv.org/abs/2409.05994) ## Uses The dataset is meant to be used to train and evaluate Spanish IR models. ## Dataset Structure ### Data Instances A typical instance of one subset of the dataset looks like: ``` { 'id': 4918739, 'query': 'a cual dedo se pone el anillo de compromiso', 'docid': '956254#2', 'docid_text': 'Pero desde hace cientos de años, se dice que la vena amoris pasa por el dedo anular izquierdo que conecta directamente al corazón (téngase en cuenta que la vena amoris no existe realmente). Tradicionalmente, es ofrecido por el hombre como regalo a su novia mientras o cuando ella accede a la proposición de matrimonio. Representa una aceptación formal del futuro compromiso.', 'query_date': "2024-03-30", 'answer_date': "2024-04-19", 'match_score': 0.74, 'expanded_search': false, 'answer_type': 'feat_snip' } ``` ### Data Fields - `id`: query id - `query`: query text - `docid`: relevant document id in the corpus - `docid_text`: relevant document text - `query_date`: date the query was extracted - `answer_date`: date the answer was extracted - `match_score`: the longest string in the SERP answer that is a substring of the matched document text, as a ratio of the length of the SERP answer - `expanded_search`: if the SERP returned a message indicating that the search was "expanded" with additional results ("se incluyen resultados de...") - `answer_type`: type of answer extracted (`feat_snippet`, featured snippets, are the most important) ### Data Splits We extract queries from Google's autocomplete API for 20 countries with Spanish as an official language, plus the United States. Equatorial Guinea was the only country left out because it doesn't have a Google domain. Some API results were independent of the country-specific domain, many queries are not specific of any country. These are included under the country label _none_. Queries from _none_ were combined with the set of unique queries from all countries and included in the _full_ subset. Unlike the country-specific sets, in the _full_ set some queries can have multiple relevant documents because the same query may return different featured snippets in different country domains. The dataset is partitioned into training and test queries in such a way that the Wikipedia article to which the paragraph belongs is present in only one of the splits. The partitioning was done by country, with about 20\% of the articles assigned to the test set. Moreover, test instances always have match_score = 1 and expanded_search = False. For further detail, such as statistics for each subset and split, see the paper. ## Citation **BibTeX:** ```bibtex @article{valentini2024messirve, title={MessIRve: A Large-Scale Spanish Information Retrieval Dataset}, author={Francisco Valentini and Viviana Cotik and Damián Furman and Ivan Bercovich and Edgar Altszyler and Juan Manuel Pérez}, year={2024}, eprint={2409.05994}, journal={arxiv:2409.05994}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2409.05994}, } ``` **APA:** Francisco Valentini, Viviana Cotik, Damián Furman, Ivan Bercovich, Edgar Altszyler, & Juan Manuel Pérez (2024). MessIRve: A Large-Scale Spanish Information Retrieval Dataset. arxiv:2409.05994.